#计算机科学#Sequential model-based optimization with a `scipy.optimize` interface
翻译 - 具有`scipy.optimize`接口的基于模型的顺序优化
#算法刷题#Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
#计算机科学#Flexible Bayesian Optimization in R
#计算机科学#A small library for managing deep learning models, hyperparameters and datasets
#计算机科学#Tools for Optuna, MLflow and the integration of both.
Hyperparameters-Optimization
#算法刷题#Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
Hyperparameter optimisation utility for lightgbm and xgboost using hyperopt.
Some experiments to empirically analyze how the parameters of LWE impact the correctness of the algorithm on a single bit.
#计算机科学#Deep Learning Specialization. Master Deep Learning, and Break into AI
Interactive exploration of hyperparameter tuning results with ipywidget and plotly in jupyter notebook.
#计算机科学#"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.
Project-Based Intern from Home Credit Indonesia, Credit Risk Classification based on bad/good credit
#计算机科学#This repository Consist of Course Material, Assignment And Quizes Attempted in Specialization Course by Coursera
#计算机科学#Study projects developed during data science courses
Automatically create a config of hyper-parameters from global variables
#学习与技能提升#Assignment titled "A Brief Review of Hyperparameter Optimization Methods for Machine Learning" for Research Methods in Computer Science course at Ryerson University